Counts differ because each database indexes a different set of publications. We treat OpenAlex as the canonical count; Google Scholar is not shown (no API, and crawling it violates its ToS).
Research preprints by Hiago Kin Levi, Decripte. DAI is a domain-specific large language model within a governed defensive architecture. ADAI (Autonomous Defensive Artificial Intelligence) is the proposed category and envelope-and-evidence framework. This project provides public manuscripts, research concepts and citation links. It does not distribute proprietary implementation code, model weights or private development records. DAI: A Domain-Specific LLM with Model-Excluded Authority, Capability-Disjoint Verification, and Recomputable Receipts. Canonical record: https://doi.org/10.5281/zenodo.23089652 Autonomous Defensive AI: An Envelope-and-Evidence Framework for Governed LLMs Acting on Production Infrastructure. Canonical record: https://doi.org/10.5281/zenodo.23089594 Both works are preprints, not represented as peer-reviewed. English manuscripts and Portuguese translations are available at the canonical records. Copyright and licensing remain as stated in the original records.
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